Self-adaptive learning based particle swarm optimization

DOI10.1016/j.ins.2010.07.013zbMath1242.68297OpenAlexW2059836574MaRDI QIDQ433095

Thomas Weise, Qiongjie Tian, Bo Yuan, Bin Li, Yu Wang, Jian-Yu Wang

Publication date: 13 July 2012

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2010.07.013

zbMATH Keywords

numerical optimizationparticle swarmpower systemeconomic load dispatchself-adaptive learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (17)

An ensemble algorithm with self-adaptive learning techniques for high-dimensional numerical optimization ⋮ Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization ⋮ A machine-learning based memetic algorithm for the multi-objective permutation flowshop scheduling problem ⋮ Smart microgrid energy management using a novel artificial shark optimization ⋮ A data-driven \textit{meta}-learning recommendation model for multi-mode resource constrained project scheduling problem ⋮ Across neighborhood search algorithm: a comprehensive analysis ⋮ A novel particle swarm optimization algorithm based on particle migration ⋮ Credit portfolio management using two-level particle swarm optimization ⋮ Self-adaptive mix of particle swarm methodologies for constrained optimization ⋮ Multiobjective optimization based on reputation ⋮ A social learning particle swarm optimization algorithm for scalable optimization ⋮ Across neighborhood search for numerical optimization ⋮ An improved particle swarm optimizer for parametric optimization of flexible satellite controller ⋮ Online optimal decoupled sliding mode control based on moving least squares and particle swarm optimization ⋮ Association rule mining through adaptive parameter control in particle swarm optimization ⋮ Adaptive Tunning of All Parameters in a Multi-Swarm Particle Swarm Optimization Algorithm: An Application to the Probabilistic Traveling Salesman Problem ⋮ Two-stage based ensemble optimization framework for large-scale global optimization

Uses Software

• Hyperheuristics
• CEC 05

Cites Work

• Unnamed Item
• Unnamed Item
• Towards a new evolutionary computation. Advances on estimation of distribution algorithms.
• A co-evolving framework for robust particle swarm optimization
• Large scale evolutionary optimization using cooperative coevolution
• Multi-strategy ensemble particle swarm optimization for dynamic optimization
• A modified particle swarm optimization via particle visual modeling analysis
• Differential evolution algorithm with ensemble of populations for global numerical optimization
• Cyber swarm algorithms - improving particle swarm optimization using adaptive memory strategies
• A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design
• Particle swarm and ant colony algorithms hybridized for improved continuous optimization
• Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients
• Parameter selection and adaptation in Unified Particle Swarm Optimization
• A study of particle swarm optimization particle trajectories

This page was built for publication: Self-adaptive learning based particle swarm optimization